Calculate the cost of using gemini-embedding-001 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 20,000 tokens
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gemini-embedding-001 is an embedding model from OpenRouter, one of 16 embedding models they offer. It is priced at $0.15 per 1M input tokens, ranking 105 out of 128 embedding models by cost and cheaper than 17% of models in this category. gemini-embedding-001 supports structured output. Its 20K-token context window is in the top 25% among embedding models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 20,000 input tokens.
At $0.15 per 1M input tokens, gemini-embedding-001 ranks 105 out of 128 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 17% of models in this category.
gemini-embedding-001 is one of 16 OpenRouter embedding models, with support for structured output. its 20K-token context window places it in the top 25% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gemini-embedding-001 |
|---|---|---|---|---|
| amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | -10% |
| text-embedding-3-large | Azure | $0.13 | $0.0000 | -13% |
| databricks-gte-large-en | Databricks | $0.13 | $0.0000 | -13% |
Similar embedding models from other providers
No. gemini-embedding-001 costs $0.15 per 1M input tokens while amazon.nova-2-multimodal-embeddings-v1:0 costs $0.14 per 1M input tokens, making amazon.nova-2-multimodal-embeddings-v1:0 10% more affordable for input. However, gemini-embedding-001 may offer different capabilities or performance characteristics that justify the price difference.
gemini-embedding-001 input pricing is $0.15 per 1M tokens, which is 50% above the median of $0.10 for embedding models. It ranks 105 out of 128 embedding models by input cost, making it cheaper than 17% of models in this category.
Among OpenRouter's 16 embedding models, gemini-embedding-001 ranks 13 by input cost.
The most comparable embedding models to gemini-embedding-001 are: amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); text-embedding-3-large from Azure ($0.13/1M input tokens); databricks-gte-large-en from Databricks ($0.13/1M input tokens); gemini-embedding-001 from Vertex AI ($0.15/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
gemini-embedding-001 supports up to 20,000 input tokens, placing it in the top 25% of embedding models by context window size (rank 28 of 113). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
gemini-embedding-001 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown.